@article{peng2022reinforced,
  title={Reinforced, incremental and cross-lingual event detection from social messages},
  author={Peng, Hao and Zhang, Ruitong and Li, Shaoning and Cao, Yuwei and Pan, Shirui and Yu, Philip S.},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={45},
  number={1},
  pages={980--998},
  year={2022},
  publisher={IEEE}
}


@article{karamouzas2022public,
  title={Public opinion monitoring through collective semantic analysis of tweets},
  author={Karamouzas, Dionysios and Mademlis, Ioannis and Pitas, Ioannis},
  journal={Social Network Analysis and Mining},
  volume={12},
  number={1},
  pages={91--112},
  year={2022},
  publisher={Springer}
}


@article{liu2020fned,
  title={Fned: a deep network for fake news early detection on social media},
  author={Liu, Yang and Wu, Yi-Fang Brook},
  journal={ACM Transactions on Information Systems (TOIS)},
  volume={38},
  number={3},
  pages={1--33},
  year={2020},
  publisher={ACM New York, NY, USA}
}


@inproceedings{abavisani2020multimodal,
  title={Multimodal categorization of crisis events in social media},
  author={Abavisani, Mahdi and Wu, Liwei and Hu, Shengli and Tetreault, Joel and Jaimes, Alejandro},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={14679--14689},
  year={2020}
}


@inproceedings{cao2024hierarchical,
  title={Hierarchical and incremental structural entropy minimization for unsupervised social event detection},
  author={Cao, Yuwei and Peng, Hao and Yu, Zhengtao and Yu, Philip S.},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={8},
  pages={8255--8264},
  year={2024}
}


@inproceedings{cao2021knowledge,
  title={Knowledge-preserving incremental social event detection via heterogeneous gnns},
  author={Cao, Yuwei and Peng, Hao and Wu, Jia and Dou, Yingtong and Li, Jianxin and Yu, Philip S.},
  booktitle={Proceedings of the Web Conference 2021},
  pages={3383--3395},
  year={2021}
}


@inproceedings{ren2022known,
  title={From known to unknown: Quality-aware self-improving graph neural network for open set social event detection},
  author={Ren, Jiaqian and Jiang, Lei and Peng, Hao and Cao, Yuwei and Wu, Jia and Yu, Philip S. and He, Lifang},
  booktitle={Proceedings of the 31st ACM International Conference on Information \& Knowledge Management},
  pages={1696--1705},
  year={2022}
}


@article{blei2003latent,
  title={Latent dirichlet allocation},
  author={Blei, David M and Ng, Andrew Y and Jordan, Michael I},
  journal={Journal of machine Learning research},
  volume={3},
  number={Jan},
  pages={993--1022},
  year={2003}
}


@article{graves2005framewise,
  title={Framewise phoneme classification with bidirectional LSTM and other neural network architectures},
  author={Graves, Alex and Schmidhuber, J{\"u}rgen },
  journal={Neural networks},
  volume={18},
  number={5-6},
  pages={602--610},
  year={2005},
  publisher={Elsevier}
}


@inproceedings{mikolov2013efficient,
  title={Efficient estimation of word representations in vector space},
  author={Mikolov, Tomas and Chen, Kai and Corrado, Greg and Dean, Jeffrey},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2013}
}


@inproceedings{devlin2018bert,
  title={{BERT:} Pre-training of Deep Bidirectional Transformers for Language Understanding},
  author={Jacob Devlin and Ming{-}Wei Chang and Kenton Lee and Kristina Toutanova},
  booktitle={Proceeding of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics},
  pages={4171--4186},
  publisher = {Minneapolis: Association for Computational Linguistics},
  year={2019}
}


@article{zhao2019pyod,
  title={Pyod: A python toolbox for scalable outlier detection},
  author={Zhao, Yue and Nasrullah, Zain and Li, Zheng},
  journal={Journal of machine learning research},
  volume={20},
  number={96},
  pages={1--7},
  year={2019}
}


@article{liu2024pygod,
  title={Pygod: A python library for graph outlier detection},
  author={Liu, Kay and Dou, Yingtong and Ding, Xueying and Hu, Xiyang and Zhang, Ruitong and Peng, Hao and Sun, Lichao and Yu, Philip S.},
  journal={Journal of Machine Learning Research},
  volume={25},
  number={141},
  pages={1--9},
  year={2024}
}


@inproceedings{pennington2014glove,
  title={Glove: Global vectors for word representation},
  author={Pennington, Jeffrey and Socher, Richard and Manning, Christopher D},
  booktitle={Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP)},
  pages={1532--1543},
  year={2014}
}


@inproceedings{kusner2015word,
  title={From word embeddings to document distances},
  author={Kusner, Matt and Sun, Yu and Kolkin, Nicholas and Weinberger, Kilian},
  booktitle={International conference on machine learning},
  pages={957--966},
  year={2015},
  organization={PMLR}
}


@article{ren2024toward,
  title={Toward Cross-Lingual Social Event Detection with Hybrid Knowledge Distillation},
  author={Ren, Jiaqian and Peng, Hao and Jiang, Lei and Hao, Zhifeng and Wu, Jia and Gao, Shengxiang and Yu, Zhengtao and Yang, Qiang},
  journal={ACM Transactions on Knowledge Discovery from Data},
  volume={18},
  number={9},
  pages={1--36},
  year={2024},
  publisher={ACM New York, NY}
}


@article{ren2023uncertainty,
  title={Uncertainty-guided boundary learning for imbalanced social event detection},
  author={Ren, Jiaqian and Peng, Hao and Jiang, Lei and Liu, Zhiwei and Wu, Jia and Yu, Zhengtao and Yu, Philip S.},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2023},
  pages={1--15},
  publisher={IEEE}
}


@article{li2024relational,
  title={Relational prompt-based pre-trained language models for social event detection},
  author={Li, Pu and Yu, Xiaoyan and Peng, Hao and Xian, Yantuan and Wang, Linqin and Sun, Li and Zhang, Jingyun and Yu, Philip S.},
  journal={ACM Transactions on Information Systems},
  year={2024},
  pages={1--43},
  publisher={ACM New York, NY}
}


@inproceedings{yang2024adaptive,
  title={Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection},
  author={Yang, Zhiwei and Wei, Yuecen and Li, Haoran and Li, Qian and Jiang, Lei and Sun, Li and Yu, Xiaoyan and Hu, Chunming and Peng, Hao},
  booktitle={Proceedings of the 33rd ACM International Conference on Information and Knowledge Management},
  pages={2950--2960},
  year={2024}
}


@inproceedings{reimers2019sentence,
  title={Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks},
  author={Reimers, Nils and Gurevych, Iryna },
  booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
  pages={3982--3992},
  year={2019}
}


@inproceedings{ren2022evidential,
  title={Evidential temporal-aware graph-based social event detection via dempster-shafer theory},
  author={Ren, Jiaqian and Jiang, Lei and Peng, Hao and Liu, Zhiwei and Wu, Jia and Yu, Philip S.},
  booktitle={2022 IEEE International Conference on Web Services (ICWS)},
  pages={331--336},
  year={2022},
  organization={IEEE}
}


@article{guo2024unsupervised,
  title={Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering},
  author={Guo, Yuanyuan and Zang, Zehua and Gao, Hang and Xu, Xiao and Wang, Rui and Liu, Lixiang and Li, Jiangmeng},
  journal={Knowledge-Based Systems},
  volume={284},
  pages={111225},
  year={2024},
  publisher={Elsevier}
}


@article{liu2020story,
  title={Story forest: Extracting events and telling stories from breaking news},
  author={Liu, Bang and Han, Fred X and Niu, Di and Kong, Linglong and Lai, Kunfeng and Xu, Yu},
  journal={ACM Transactions on Knowledge Discovery from Data (TKDD)},
  volume={14},
  number={3},
  pages={1--28},
  year={2020},
  publisher={ACM New York, NY, USA}
}


@inproceedings{yu2025towards,
  title={Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space},
  author={Yu, Xiaoyan and Wei, Yifan and Zhou, Shuaishuai and Yang, Zhiwei and Sun, Li and Peng, Hao and Zhu, Liehuang and Yu, Philip S.},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  pages={1--11},
  year={2025}
}


@inproceedings{yu2024dame,
  title={DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism},
  author={Yu, Xiaoyan and Wei, Yifan and Li, Pu and Zhou, Shuaishuai and Peng, Hao and Sun, Li and Zhu, Liehuang and Yu, Philip S.},
  booktitle={Proceedings of the 33rd ACM International Conference on Information and Knowledge Management},
  pages={3052--3062},
  year={2024}
}


@inproceedings{sklearn_api,
  author    = {Lars Buitinck and Gilles Louppe and Mathieu Blondel and
                Fabian Pedregosa and Andreas Mueller and Olivier Grisel and
                Vlad Niculae and Peter Prettenhofer and Alexandre Gramfort
                and Jaques Grobler and Robert Layton and Jake VanderPlas and
                Arnaud Joly and Brian Holt and Ga{\"{e}}l Varoquaux},
  title     = {{API} design for machine learning software: experiences from the scikit-learn
                project},
  booktitle = {ECML PKDD Workshop: Languages for Data Mining and Machine Learning},
  year      = {2013},
  pages = {108--122},
}


@article{wolf2019huggingface,
  title={Huggingface's transformers: State-of-the-art natural language processing},
  author={Wolf, T},
  journal={arXiv preprint arXiv:1910.03771},
  pages={1--8},
  year={2019}
}


@article{paszke2019pytorch,
  title={Pytorch: An imperative style, high-performance deep learning library},
  author={Paszke, Adam and Gross, Sam and Massa, Francisco and Lerer, Adam and Bradbury, James and Chanan, Gregory and Killeen, Trevor and Lin, Zeming and Gimelshein, Natalia and Antiga, Luca and others},
  journal={Advances in neural information processing systems},
  volume={32},
  pages={1--12},
  year={2019}
}


@article{hasan2018survey,
  title={A survey on real-time event detection from the twitter data stream},
  author={Hasan, Mahmud and Orgun, Mehmet A and Schwitter, Rolf},
  journal={Journal of Information Science},
  volume={44},
  number={4},
  pages={443--463},
  year={2018},
  publisher={SAGE Publications Sage UK: London, England}
}


@inproceedings{mcminn2013building,
  title={Building a large-scale corpus for evaluating event detection on twitter},
  author={McMinn, Andrew J and Moshfeghi, Yashar and Jose, Joemon M},
  booktitle={Proceedings of the 22nd ACM international conference on Information \& Knowledge Management},
  pages={409--418},
  year={2013}
}


@inproceedings{alharbi2021kawarith,
  title={Kawarith: an Arabic Twitter corpus for crisis events},
  author={Alharbi, Alaa and Lee, Mark},
  booktitle={Proceedings of the Sixth Arabic Natural Language Processing Workshop},
  pages={42--52},
  year={2021}
}


@inproceedings{wang2020maven,
  title={MAVEN: A Massive General Domain Event Detection Dataset},
  author={Wang, Xiaozhi and Wang, Ziqi and Han, Xu and Jiang, Wangyi and Han, Rong and Liu, Zhiyuan and Li, Juanzi and Li, Peng and Lin, Yankai and Zhou, Jie},
  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages={1652--1671},
  year={2020}
}


@inproceedings{olteanu2014crisislex,
  title={Crisislex: A lexicon for collecting and filtering microblogged communications in crises},
  author={Olteanu, Alexandra and Castillo, Carlos and Diaz, Fernando and Vieweg, Sarah},
  booktitle={Proceedings of the international AAAI conference on web and social media},
  volume={8},
  number={1},
  pages={376--385},
  year={2014}
}


@inproceedings{olteanu2015expect,
  title={What to expect when the unexpected happens: Social media communications across crises},
  author={Olteanu, Alexandra and Vieweg, Sarah and Castillo, Carlos},
  booktitle={Proceedings of the 18th ACM conference on computer supported cooperative work \& social computing},
  pages={994--1009},
  year={2015}
}


@inproceedings{alam2018crisismmd,
  title={Crisismmd: Multimodal twitter datasets from natural disasters},
  author={Alam, Firoj and Ofli, Ferda and Imran, Muhammad},
  booktitle={Proceedings of the international AAAI conference on web and social media},
  volume={12},
  number={1},
  year={2018}
}


@inproceedings{alam2021crisisbench,
  title={CrisisBench: Benchmarking crisis-related social media datasets for humanitarian information processing},
  author={Alam, Firoj and Sajjad, Hassan and Imran, Muhammad and Ofli, Ferda},
  booktitle={Proceedings of the International AAAI conference on web and social media},
  volume={15},
  pages={923--932},
  year={2021}
}


@inproceedings{deng2020meta,
  title={Meta-learning with dynamic-memory-based prototypical network for few-shot event detection},
  author={Deng, Shumin and Zhang, Ningyu and Kang, Jiaojian and Zhang, Yichi and Zhang, Wei and Chen, Huajun},
  booktitle={Proceedings of the 13th international conference on web search and data mining},
  pages={151--159},
  year={2020}
}


@article{imran2013extracting,
  title={Extracting information nuggets from disaster-Related messages in social media.},
  author={Imran, Muhammad and Elbassuoni, Shady and Castillo, Carlos and Diaz, Fernando and Meier, Patrick},
  journal={Iscram},
  volume={201},
  number={3},
  pages={791--801},
  year={2013}
}



@article{alam2018twitter,
  title={A twitter tale of three hurricanes: Harvey, irma, and maria},
  author={Alam, Firoj and Ofli, Ferda and Imran, Muhammad and Aupetit, Michael},
  journal={arXiv preprint arXiv:1805.05144},
  year={2018}
}

@inproceedings{alam2018graph,
  title={Graph based semi-supervised learning with convolution neural networks to classify crisis related tweets},
  author={Alam, Firoj and Joty, Shafiq and Imran, Muhammad},
  booktitle={Proceedings of the international AAAI conference on web and social media},
  volume={12},
  number={1},
  year={2018}
}


@inproceedings{alam2021humaid,
  title={Humaid: Human-annotated disaster incidents data from twitter with deep learning benchmarks},
  author={Alam, Firoj and Qazi, Umair and Imran, Muhammad and Ofli, Ferda},
  booktitle={Proceedings of the International AAAI Conference on Web and social media},
  volume={15},
  pages={933--942},
  year={2021}
}

@inproceedings{wang2020kpgnn,
  title={KPGNN: Knowledge-Guided Pattern Graph Neural Network for Social Event Detection},
  author={Wang, Yuwei and Liu, Zhenfeng and Zhu, Chenwei and Jiang, Meng and Zhang, Yixuan and Wang, Yizhou},
  booktitle={Proceedings of the 29th ACM International Conference on Information \& Knowledge Management},
  pages={1025--1034},
  year={2020}
}